Distributed Learning

Distributed Learning

Algorithms that split the training process across multiple machines or devices to handle large datasets and speed up computations.

• Distributed Stochastic Gradient Descent (Distributed SGD)

• Federated Learning

• MapReduce for ML

• Horovod (for deep learning models)

• Apache Spark MLlib

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